steampipe plugin install azure

Table: azure_compute_virtual_machine_metric_cpu_utilization_daily - Query Azure Compute Virtual Machines using SQL

Azure Compute is a service within Microsoft Azure that offers scalable and secure virtual machines. These virtual machines provide the power to support large-scale, mission-critical applications. They allow users to deploy a wide range of computing solutions in an agile manner.

Table Usage Guide

The azure_compute_virtual_machine_metric_cpu_utilization_daily table provides insights into the daily CPU utilization of Azure Compute Virtual Machines. As a system administrator or DevOps engineer, explore VM-specific CPU utilization details through this table to identify resource usage patterns and potential performance bottlenecks. Utilize it to monitor and optimize the performance of your Azure Compute resources effectively.

Examples

Basic info

Explore the performance metrics of Azure virtual machines on a daily basis to gain insights into CPU utilization trends. This can help identify instances of resource overload or inefficiency, assisting in better resource management and planning.

select
name,
timestamp,
minimum,
maximum,
average,
sample_count
from
azure_compute_virtual_machine_metric_cpu_utilization_daily
order by
name,
timestamp;
select
name,
timestamp,
minimum,
maximum,
average,
sample_count
from
azure_compute_virtual_machine_metric_cpu_utilization_daily
order by
name,
timestamp;

CPU Over 80% average

This example helps to pinpoint specific instances where the average CPU utilization of Azure virtual machines exceeds 80%. It's useful in identifying potential performance issues and ensuring efficient resource allocation.

select
name,
timestamp,
round(minimum :: numeric, 2) as min_cpu,
round(maximum :: numeric, 2) as max_cpu,
round(average :: numeric, 2) as avg_cpu,
sample_count
from
azure_compute_virtual_machine_metric_cpu_utilization_daily
where
average > 80
order by
name,
timestamp;
select
name,
timestamp,
round(minimum, 2) as min_cpu,
round(maximum, 2) as max_cpu,
round(average, 2) as avg_cpu,
sample_count
from
azure_compute_virtual_machine_metric_cpu_utilization_daily
where
average > 80
order by
name,
timestamp;

Schema for azure_compute_virtual_machine_metric_cpu_utilization_daily

NameTypeOperatorsDescription
_ctxjsonbSteampipe context in JSON form.
averagedouble precisionThe average of the metric values that correspond to the data point.
cloud_environmenttextThe Azure Cloud Environment.
maximumdouble precisionThe maximum metric value for the data point.
minimumdouble precisionThe minimum metric value for the data point.
nametextThe name of the virtual machine.
resource_grouptextThe resource group which holds this resource.
sample_countdouble precisionThe number of metric values that contributed to the aggregate value of this data point.
sp_connection_nametext=, !=, ~~, ~~*, !~~, !~~*Steampipe connection name.
sp_ctxjsonbSteampipe context in JSON form.
subscription_idtext=, !=, ~~, ~~*, !~~, !~~*The Azure Subscription ID in which the resource is located.
sumdouble precisionThe sum of the metric values for the data point.
timestamptimestamp with time zoneThe time stamp used for the data point.
unittextThe units in which the metric value is reported.

Export

This table is available as a standalone Exporter CLI. Steampipe exporters are stand-alone binaries that allow you to extract data using Steampipe plugins without a database.

You can download the tarball for your platform from the Releases page, but it is simplest to install them with the steampipe_export_installer.sh script:

/bin/sh -c "$(curl -fsSL https://steampipe.io/install/export.sh)" -- azure

You can pass the configuration to the command with the --config argument:

steampipe_export_azure --config '<your_config>' azure_compute_virtual_machine_metric_cpu_utilization_daily